Optimal active load scheduling in a day-ahead energy market with uncertainty in demand

The existing power loads are continuously increasing and leading to various challenges related economics systems constraints. Any uncontrolled fluctuations of the demand over consecutive hours would dramatically complicate correct management generation. Therefore, this paper provides an effective solution for managing uncertainty in providing optimal scheduling generation based on active load optimization day-ahead energy market. proposed model relies operating encounter any unexpected change pattern with taken into consideration characteristics these loads. objective is procure lowest bill by reducing operational costs taking account compensation cost case optimized problem solved using mixed-integer linear programming through two technical stages. first stage handles normal operation passive demand, while second treats all stochastic scenarios. operated under specific constraints such as instantaneous min/max amount duration 24-h period time. Case studies used demonstrate effectiveness implementing